Gene2Phenotype: a database of structured human monogenic diseases and pathomechanisms

To facilitate both disease research and personalised medicine, there is an urgent need for accessible, structured data models describing the molecular basis of genetically determined disease. Gene2Phenotype is a database of expert-curated monogenic gene-disease associations which was established in 2012 to enable efficient prioritisation of likely diagnostic genomic variants. Initially focused on developmental disorders, it has since been extended to support cardiac, eye, skeletal and skin disorders and germline cancer predisposition. We have redesigned and extended Gene2Phenotype which now openly shares standardised, structured models of rare monogenic diseases, detailing genotype, molecular mechanism and associated phenotypes, curated from scientific literature. The updated platform, which includes a new API, enabling programmatic access, improves the findability, accessibility, interoperability and reusability of detailed rare monogenic disease association data. These data have the potential to accelerate disease research, clinical diagnosis, treatment selection and the development of novel therapies. Gene2Phenotype is available at https://www.ebi.ac.uk/gene2phenotype/.

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Publication Details

Journal
Journal of Molecular Biology
Published
2026-03-01
DOI
https://doi.org/10.1016/j.jmb.2026.169768
Primary Topic
Genomic variations and chromosomal abnormalities
Type
article
Field-Weighted Citation Impact
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article

Gene2Phenotype: a database of structured human monogenic diseases and pathomechanisms

Olanrewaju Austine-Orimoloye, Elena Cibrián–Uhalte, Diana Lemos, Julia Foreman et al.
Journal of Molecular Biology
Genomic variations and chromosomal abnormalities
article

Gene2Phenotype: a database of structured human monogenic diseases and pathomechanisms

Olanrewaju Austine-Orimoloye, Elena Cibrián–Uhalte, Diana Lemos, Julia Foreman, Mallory Freeberg, Morad Ansari, Seeta Ramaraju Pericherla, Sarah E. Hunt, T.Michael Yates, Ware, James, S, T.Ian Simpson, Louise Thompson, Helen V. Firth, Caroline F Wright
article en

Abstract

To facilitate both disease research and personalised medicine, there is an urgent need for accessible, structured data models describing the molecular basis of genetically determined disease. Gene2Phenotype is a database of expert-curated monogenic gene-disease associations which was established in 2012 to enable efficient prioritisation of likely diagnostic genomic variants. Initially focused on developmental disorders, it has since been extended to support cardiac, eye, skeletal and skin disorders and germline cancer predisposition. We have redesigned and extended Gene2Phenotype which now openly shares standardised, structured models of rare monogenic diseases, detailing genotype, molecular mechanism and associated phenotypes, curated from scientific literature. The updated platform, which includes a new API, enabling programmatic access, improves the findability, accessibility, interoperability and reusability of detailed rare monogenic disease association data. These data have the potential to accelerate disease research, clinical diagnosis, treatment selection and the development of novel therapies. Gene2Phenotype is available at https://www.ebi.ac.uk/gene2phenotype/.

Journal of Molecular Biology
European Bioinformatics Institute (GB), University of Exeter (GB), Western General Hospital (GB), Wellcome Sanger Institute (GB), Lung Institute (US), Queen Elizabeth University Hospital (GB), MRC London Institute of Medical Sciences (GB), Imperial College London (GB), University of Edinburgh (GB)
Openalex Percentile: Top 7%
Genomic variations and chromosomal abnormalities
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